Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we invest...
Management of virtual machines (VMs) on a large scale remains a significant challenge today. We lack general and vendor-independent quantitative criteria/metrics by which to desc...
Energy consumption in hosting Internet services is becoming a pressing issue as these services scale up. Dynamic server provisioning techniques are effective in turning off unnece...
Gong Chen, Wenbo He, Jie Liu, Suman Nath, Leonidas...
Most computer defense systems crash the process that they protect as part of their response to an attack. Although recent research explores the feasibility of selfhealing to autom...
Michael E. Locasto, Angelos Stavrou, Gabriela F. C...